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Journal of Kunming Metallurgy College ›› 2025, Vol. 41 ›› Issue (05): 108-.DOI: 10.3969/j.issn.1009-0479.2025.05.017

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Exploration and Practice of Integrating Artificial Intelligence into HigherVocational Metallurgical Technology Education

  

  1. a. Faculty of Metallurgy and Mining Engineering; b. Enrollment and Employment Center;c. Faculty of Environment and Chemical Engineering; Kunming Metallurgy College, Kunming 650033, China
  • Online:2025-10-01 Published:2026-03-27

Abstract: Artificial intelligence (Al) technology, as a core driving force for educational innovation, hasshown immense potential in vocational education. This paper explores the application and practice of Altechnology in the teaching of Metallurgical Technology in higher vocational education. By analyzing the cur-rent state of vocational education, the compatibility of AI with vocational education, and the typical chal-lenges arising from the integration of AI into vocational education, the paper highlights the significance ofAI in enhancing the quality of vocational education and optimizing the leaming experience. Using the Met-allurgical Technology major as a case study, the paper examines AI application examples in the teaching ofthis discipline. It further discusses the possibilities and challenges of Al-enhanced practical training in theMetallurgical Technology major and proposes implementation strategies and safeguard measures. The prac-tice shows that the introduction of AI technology not only brings new opportunities to Metallurgical Technol-ogy education but also provides innovative paths for the digital transformation of vocational education.

Key words: artificial intelligence, vocational education, metallurgical technology major, practical training teaching,